Next-generation sequencing and the evolution of data sharing

被引:4
|
作者
de Macena Sobreira, Nara Lygia [1 ]
Hamosh, Ada [1 ]
机构
[1] Johns Hopkins Univ, Sch Med, McKusick Nathans Dept Genet Med, 733 North Broadway,St Suite 569, Baltimore, MD 21205 USA
关键词
data sharing; GeneMatcher; model organisms; VariantMatcher; whole exome sequencing; DISEASE GENE; RARE;
D O I
10.1002/ajmg.a.62239
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Disease gene identification often relies on identifying multiple affected individuals with similar phenotypes and candidate variants in the same gene. Phenotypic and genomic data sharing tools have facilitated connections that led to novel disease gene discoveries and better characterization and recognition of rare diseases. Additionally, data sharing has evolved. From gene-based matches to variant-level information with increasing use of phenotypic information. We expect that these initiatives will continue to expand in the future affording clinicians, researchers, and most importantly, patients and their families faster and more comprehensive answers.
引用
收藏
页码:2633 / 2635
页数:3
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